IBM & Red Hat on AWS
Author: Eduardo Monich Fronza
Eduardo Monich Fronza is a Partner Solutions Architect at AWS. His experience includes Cloud, solutions architecture, application platforms, containers, workload modernization, and hybrid solutions. In his current role, Eduardo helps AWS partners and customers in their cloud adoption journey.
Building integration APIs with IBM Cloud Pak for Integration and AWS services
In today’s interconnected world, customers need seamless integration between their mission-critical applications, systems, and services. IBM Cloud Pak for Integration (CP4I) when combined with Amazon Web Services (AWS) services, can help address these integration challenges. In this blog, you will learn how to use CP4I, deployed on Red Hat OpenShift Service on AWS (ROSA), to […]
Installing Red Hat OpenShift on AWS in a restricted network using AWS Secure Token Service
Customers in regulated industries often need to avoid using external software registries and long-term credentials to comply with regulatory requirements. When deploying Red Hat OpenShift Container Platform (OCP) on Amazon Web Services (AWS), these same customers can use restricted Amazon Virtual Private Cloud (Amazon VPC) networks and the AWS Secure Token Service (AWS STS). AWS […]
Building data integration with IBM Planning Analytics SaaS and AWS Lambda
Customers across different industries are looking for ways to use all of their data to enhance their planning and decision-making processes. They seek solutions to integrate data from various sources, aiming to build innovative AI solutions, gain a 360-degree view of their operations, and uncover new insights to differentiate their businesses. IBM Planning Analytics (PA) is […]
Optimize AI governance with Amazon SageMaker and IBM watsonx.governance
In the rapidly evolving landscape of artificial intelligence and machine learning (AI/ML), governance has emerged as a critical imperative. As organizations increasingly rely on AI to drive business decisions and automate processes, ensuring enforcement of policies and standard practices has become a top priority. Amazon Web Services (AWS) and IBM have joined forces to provide […]
Build a Modern Data Architecture on AWS with your IBM Z Mainframe
Customers across most industries run critical applications like bulk data processing, industry and consumer statistics, enterprise resource planning, and large-scale transaction processing on mainframe architectures such as IBM Z. Much of this data is created and stored using Db2 for z/OS. At the same time, these customers are also performing their modernized data operations on […]
Optimizing Workload Performance and Cost with IBM Turbonomic on AWS
Customers who are interested optimizing workload performance and costs while achieving sustainability objectives can now leverage IBM Turbonomic on AWS. IBM Turbonomic is an AI-driven Application Resource Management (ARM) solution that helps organizations improve the performance and cost of their IT infrastructure on AWS and hybrid cloud environments. This containerized, microservices ARM application is offered […]
Accelerate Data Modernization and AI with IBM Databases on AWS
Data quality is essential for successful artificial intelligence (AI) workloads. For this reason, customers want to move beyond basic database management tasks such as backups and upgrades, to building modern data architectures. They seek to implement efficient strategies to unify data, removing duplication and implement governance to ensure secure data access. These challenges aren’t new […]